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1The Future of Software Testing in the AI Era: Trends, Challenges & Practical Strategies Explore the future of software testing in the AI era—key challenges, trends in testing AI systems, how AI empowers traditional testing, and practical strategies for testers to thrive. Learn how to adapt without rushing or waiting.
2Performance Testing Metrics: What Exactly Does It Contain? Performance testing metrics are essential aspects to consider in a performance testing report. The objective of performance testing is to obtain relevant data about server performance under high user and data loads, analyze system bottlenecks, and enhance system stability.
3Quality Engineering vs Quality Assurance: What’s the Real Difference? Quality engineering vs quality assurance, what are their roles and differences? While both are very important in software development, there are still significant differences between the two. Understanding the differences can help us go further and deeper in our software testing work.
4Let Crashes "Speak": How AI Identifies Root Cause Signals From "Noise" As AI technology continues to evolve, game crash governance is shifting from passive response to proactive prevention. Tencent's CrashSight platform transforms game crash management by using intelligent clustering and a hybrid reasoning framework.
5What is an XPath in Selenium? Everything You Should Know In this blog post, we will explore what Selenium is, delve into the concept of XPath, and finally understand how XPath is used within Selenium to create powerful automation scripts.